Shanghai, China

Jun Du

This inventor holds 7 USPTO granted patents and 6 published patent applications and 5 EPO patents. Top assignees: Huawei Technologies Co., Limited, Zte Corporation. Active years: 2014-2023.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Jun Du. Retrieved from https://idiyas.com/inventor/jun-du-zltniuam

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

USPTO Granted Patents = 7 

% Patents Active = 100.0

 

Average Co-Inventor Count = 2.4

ph-index = 1

Forward Citations = 1(Granted Patents)


Location History:

  • Shenzhen, CN (2014)
  • Wuhan, CN (2018)
  • Shanghai, CN (2019 - 2023)

Company Filing History:


Years Active: 2014-2023

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7 patents (USPTO):Explore Patents

Title: The Innovative Journey of Jun Du

Introduction: Jun Du, a pioneering inventor hailing from Shanghai, CN, has made significant contributions to the world of technology through his groundbreaking innovations.

Latest Patents: Jun Du holds several patents in the field of artificial intelligence and robotics, with his most recent patent focusing on advanced machine learning algorithms for autonomous vehicles.

Career Highlights: With a background in computer science and engineering, Jun Du has worked for leading tech companies in Shanghai, where he spearheaded projects that have revolutionized the industry. His expertise in AI and robotics has led to the development of cutting-edge technologies.

Collaborations: Jun Du has collaborated with top research institutions and universities worldwide to further his research in the field of artificial intelligence. His partnerships have resulted in the creation of innovative solutions that have garnered international acclaim.

Conclusion: Jun Du's relentless pursuit of innovation and his passion for pushing the boundaries of technology make him a trailblazer in the world of inventions. His work continues to inspire future generations of inventors and researchers.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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